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Narrative Annotation of Content for Cultural Legacy Preservation

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Data Management Technologies and Applications (DATA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 814))

Abstract

An important, yet underestimated, aspect of cultural heritage preservation is the analysis of personal narratives told by citizens. In this paper, we present a server architecture that facilitates multimedia content storage and sharing, along with the management of associated narrative information. Via the exposition of a RESTful interface, the proposed solution enables the collection of textual narratives in raw form, as well as the extraction of related narrative knowledge. We apply it to a corpus related to the time of the European construction in Luxembourg. We disclose details about our conceptual model and implementation, as well as experiments supporting the interest of our approach.

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Notes

  1. 1.

    https://developers.google.com.

  2. 2.

    https://dumps.wikimedia.org/frwiki/latest/.

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Acknowledgements

This work was achieved in the context of the LOCALE project, funded by the Luxembourgish Fonds National de la Recherche. It used data from the Centre National de l’Audiovisuel. We would also like to thank elderly volunteers from AMIPERAS and Konviksgaart organizations, who contributed to the creation of the interviews corpus.

Author information

Authors and Affiliations

  1. LIST, 5 Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg

    Pierrick Bruneau

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  1. Pierrick Bruneau
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Correspondence to Pierrick Bruneau .

Editor information

Editors and Affiliations

  1. INSTICC, Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

  2. University of Coimbra, Coimbra, Portugal

    Jorge Bernardino

  3. RWTH Aachen University, Aachen, Germany

    Christoph Quix

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Bruneau, P. (2018). Narrative Annotation of Content for Cultural Legacy Preservation. In: Filipe, J., Bernardino, J., Quix, C. (eds) Data Management Technologies and Applications. DATA 2017. Communications in Computer and Information Science, vol 814. Springer, Cham. https://doi.org/10.1007/978-3-319-94809-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-94809-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94808-9

  • Online ISBN: 978-3-319-94809-6

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